Evaluation metrics: We apply the three most widely used metrics in the previous work to measure the effectiveness of OOD detection.
The first one is the true negative rate (TNR) at 95% true positive rate (TPR), which could be interpreted as the probability that an OOD input is correctly identified when the TPR is as high as 95%.
The second one is the area under the receiver operating characteristic curve (AUROC) [1]}.
The AUROC could be interpreted as the model's ability to discriminate between positive and negative inputs.
The third metric is the area under the precision-recall curve (AUPR).
